Instructions to use TehranNLP-org/electra-base-sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TehranNLP-org/electra-base-sst2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TehranNLP-org/electra-base-sst2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TehranNLP-org/electra-base-sst2") model = AutoModelForSequenceClassification.from_pretrained("TehranNLP-org/electra-base-sst2") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
1a0ea05 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:c321af848efb69208d4f03867dc0b07d70d8baeaa05d0e9a6abace9a23516f8e
size 3119
|